At a Glance
- Tasks: Design and implement predictive models to enhance marketing strategies.
- Company: Join a leading data-driven digital agency making waves in the marketing world.
- Benefits: Enjoy hybrid work options, competitive salary, and opportunities for professional growth.
- Other info: Work with top-tier clients and lead projects that shape data strategy.
- Why this job: Make a real impact on global brands using cutting-edge AI and analytics.
- Qualifications: Advanced skills in machine learning, Python, SQL, and strong communication abilities required.
The predicted salary is between 36000 - 60000 £ per year.
Location: Hybrid (London) or UK Remote
Are you a Data Scientist or ML Engineer ready to make an impact across the full data science lifecycle? Do you thrive in fast-paced environments, enjoy wearing multiple hats, and take pride in turning ideas into production-ready solutions? My client is a leading data-driven digital agency, looking for a Data Scientist/ML Engineer to join their high-impact Marketing Sciences team. You will be working on cutting-edge data science projects that directly drive campaign performance, customer engagement, and revenue growth for some of the world's biggest brands.
What You’ll Be Doing:
- Build & Optimise Models: Design and implement predictive models including causal AI campaign modelling, forecasting engines, pricing elasticity models, and recommender systems.
- Lead Projects & People: Guide a team of data scientists across multiple projects. Depending on experience, this may include upskilling those around you.
- Deliver Real Business Impact: Use predictive and prescriptive analytics to generate insights that translate into tangible improvements for client campaigns and marketing strategy.
- Prototype & Scale: Develop tools, frameworks, and self-service prototypes that showcase the agency’s capabilities.
- Client-Facing Influence: Present technical concepts clearly to both technical and non-technical stakeholders.
- Document & Collaborate: Work cross-functionally and ensure processes are documented and scalable.
Must-Have Experience:
- Extensive experience building machine learning models for marketing use cases.
- Advanced skills in segmentation, recommendation, campaign optimisation, forecasting, etc.
- Proficiency in Python, SQL, Bash, and Git. Familiarity with tools like Pandas, Jupyter notebooks, PyTorch.
- Experience with advanced techniques including CausalAI, NLP, RNNs, GraphAI, GenAI, and Computer Vision.
- Solid understanding of experimentation methods including A/B testing.
- Strong communication skills and ability to translate complex analyses into actionable insights.
Nice-to-Haves:
- Familiarity with marketing-specific measurement models such as Media Mix Modelling (MMM).
- Knowledge of model versioning (e.g. MLFlow), API frameworks (FastAPI), or building dashboards (e.g. Dash or Streamlit).
The Opportunity: You will work across multiple industries and household-name brands, contributing to meaningful campaigns powered by cutting-edge AI and analytics. This role offers variety, high visibility, and the opportunity to shape data strategy at both a technical and strategic level.
Data Scientist / ML Engineer in London employer: Xcede
Join a leading broadcasting client as a Security Architect and be part of a dynamic team driving significant cyber transformation. With a hybrid working model that promotes work-life balance, you will have the opportunity to collaborate with talented professionals while enjoying a supportive culture that prioritises employee growth and development. This role not only offers competitive compensation but also the chance to make a meaningful impact in a forward-thinking organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist / ML Engineer in London
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Xcede!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Data Scientist / ML Engineer in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Xcede, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Xcede
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Xcede’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
